Abstract: The current trend is E mobilitythe reason for it is to protect or save the environment. The success of $\mathbf{E}$ mobility depends on the two important components. First one is a battery ...
Large language models (LLMs) leverage unsupervised learning to capture statistical patterns within vast amounts of text data. At the core of these models lies the Transformer architecture, which ...
Abstract: This article compares the tuning of an inverted pendulum’s proportional-integral-derivative (PID) parameters using heuristic approaches. This study intends to develop an inverted pendulum ...
ABSTRACT: With the advent of the 5G and future 6G, base stations will be used as station controllers. The antenna systems are networked and equipped with a processor to optimize the detection of ...
Pleiotropy poses a challenge for crop improvement because selecting for one beneficial trait can negatively impact another. In addition to Eveland’s research team, scientists from the University of ...
For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...
More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present an artificial intelligence-guided approach to design durable and chemically ...
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